STORM tutorial: articles, conversations and PDF export

Learn STORM AI's article and conversation workflows, PDF export, and comparisons with ChatGPT, NotebookLM and Perplexity, including public-by-default output.

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This tutorial introduces STORM AI, which the presenter describes as a research assistant developed at Stanford University. It covers the browser service at storm.genie.stanford.edu: sign in with Google, enter a topic in a new session, and revisit saved articles and conversations in the library. The discover tab contains existing articles and discussions.

The presenter explains two workflows. STORM mode researches a topic on the web and produces a structured article with sources. A brainstorming view lets users inspect the process. The second mode supports a conversation about the topic, with related questions and user contributions. In the demonstrated SEO example, the presenter reports receiving an article within a couple of minutes, including a title, table of contents and detailed sections. Users can download articles as PDFs.

The comparison frames ChatGPT as a general writing and conversation tool, NotebookLM as a workspace centered on users' materials, and Perplexity as a source of shorter answers. These are the presenter's distinctions, rather than benchmark results.

The presenter says the service was free at the time and that generated content is public by default. The tutorial requires internet access and does not cover a local or self-hosted installation.